Multidisciplinary – Sciences (MLS)
Section Information
Multidisciplinary Sciences focuses on research that spans multiple scientific fields, integrates diverse methodologies, or addresses complex problems requiring cross-disciplinary collaboration. It supports studies that combine insights from physical, biological, environmental, computational, engineering, and social sciences to advance scientific understanding and solve real-world challenges.
Modern multidisciplinary research includes systems science, complex networks, sustainability science, computational modeling, interdisciplinary health research, materials innovation, big data analytics, emerging technologies, and cross-domain problem solving. Advances in integrative methods, high-throughput experimentation, and collaborative research frameworks continue to expand the scope of multidisciplinary science.
This section publishes experimental studies, theoretical work, integrative analyses, reviews, methodological papers, and case studies that bridge scientific fields, introduce cross-cutting concepts, or propose innovative approaches to multidimensional scientific questions.
Scope
- Integrated Physical, Biological, and Environmental Sciences
- Studies combining physics, chemistry, and biology
- Interactions among ecosystems, climate, and human systems
- Biogeochemistry, earth system science, and environmental modeling
- Cross-disciplinary approaches to sustainability and resilience
- Systems Science and Complex Systems
- Network science, system dynamics, and nonlinear systems
- Modeling of complex biological, ecological, and social systems
- Interdisciplinary studies of emergent behavior and pattern formation
- Applications of complexity theory in science and engineering
- Advanced Materials and Cross-Disciplinary Innovation
- Materials research integrating physics, chemistry, and engineering
- Biomaterials, nanotechnology, and hybrid material systems
- Computational materials science and multiscale modeling
- Translational applications in energy, medicine, and manufacturing
- Computational and Data-Driven Sciences
- Big data analytics, machine learning, and AI applications
- High-performance computing for scientific discovery
- Interdisciplinary modeling frameworks and simulation tools
- Data integration across scientific domains
- Interdisciplinary Health, Biomedical, and Life Sciences
- Studies linking biomedical sciences with engineering or computational tools
- Global health, epidemiology, and translational research
- Systems biology, synthetic biology, and interdisciplinary biotechnology
- Human–environment interactions affecting health outcomes
- Energy, Environment, and Sustainability
- Cross-sector energy systems and renewable technologies
- Interdisciplinary approaches to climate mitigation and adaptation
- Sustainable resource management and circular economy frameworks
- Environmental assessment and ecosystem resilience
- Emerging Technologies and Cross-Domain Applications
- Advanced sensing, robotics, and automation
- Quantum technologies, photonics, and applied physics
- Biotechnology, nanotech, and interdisciplinary engineering
- Technology integration for societal and industrial impact
- Interdisciplinary Methodologies and Research Frameworks
- Mixed-method scientific approaches and integrative research design
- Collaborative science, convergence research, and team-based inquiry
- Cross-disciplinary theory development and conceptual integration
- Ethics, communication, and evaluation of multidisciplinary science
Editorial Board
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Topical Advisory Panel
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Papers Published
Click here to see a list of 1 papers published in this section.